Historical Context-based Style Classification of Painting Images via Label Distribution Learning

Author:

Yang Jufeng1,Chen Liyi1,Zhang Le2,Sun Xiaoxiao1,She Dongyu1,Lu Shao-Ping1,Cheng Ming-Ming1

Affiliation:

1. Nankai University, Tianjin, China

2. Advanced Digital Sciences Center, Illinois at Singapore, Singapore, Singapore

Funder

Tianjin Natural Science Foundation for Distinguished Young Scholars

NSFC

Natural Science Foundation of Tianjin China

the Open Project Program of the National Laboratory of Pattern Recognition (NLPR)

Huawei Innovation Research Program

the national youth talent support program

Publisher

ACM

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fast Coherent Video Style Transfer via Flow Errors Reduction;Applied Sciences;2024-03-21

2. StyleEDL: Style-Guided High-order Attention Network for Image Emotion Distribution Learning;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

3. Madhubani Art Classification using transfer learning with deep feature fusion and decision fusion based techniques;Engineering Applications of Artificial Intelligence;2023-03

4. SoftClusterMix: learning soft boundaries for empirical risk minimization;Neural Computing and Applications;2023-02-14

5. Instance-Dependent Inaccurate Label Distribution Learning;IEEE Transactions on Neural Networks and Learning Systems;2023

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